code: def _get_message(status):
      """
      Given problem status code, return a more detailed message.
  
      Parameters
      ----------
      status : int
          An integer representing the exit status of the optimization::
  
           0 : Optimization terminated successfully
           1 : Iteration limit reached
           2 : Problem appears to be infeasible
           3 : Problem appears to be unbounded
           4 : Serious numerical difficulties encountered
  
      Returns
      -------
      message : str
          A string descriptor of the exit status of the optimization.
  
      """
      messages = [
          "Optimization terminated successfully.",
          "The iteration limit was reached before the algorithm converged.",
          "The algorithm terminated successfully and determined that the "
          "problem is infeasible.",
          "The algorithm terminated successfully and determined that the "
          "problem is unbounded.",
          "Numerical difficulties were encountered before the problem "
          "converged. Please check your problem formulation for errors, "
          "independence of linear equality constraints, and reasonable "
          "scaling and matrix condition numbers. If you continue to "
          "encounter this error, please submit a bug report.",
      ]
      return messages[status]
  
file_path: catboost/contrib/python/scipy/py2/scipy/optimize/_linprog_ip.py
imports: from __future__ import print_function, division, absolute_import
  import numpy
  import scipy
  import scipy.sparse
  from warnings import warn
  from scipy.linalg import LinAlgError
  from .optimize import OptimizeWarning, _check_unknown_options
label_desc: Use image node_id 5 for calling a global function with example usage: _get_message(status) and returns: messages